MSI MS-7851
Geekbench ML Score
363
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | December 27 2024 03:16 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | MSI MS-7851 |
| Motherboard | MSI H97I AC (MS-7851) |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-4790K |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 60 Stepping 3 |
| Base Frequency | 4.00 GHz |
| Cluster 1 | 4 Cores |
| L1 Instruction Cache | 32.0 KB x 4 |
| L1 Data Cache | 32.0 KB x 4 |
| L2 Cache | 256 KB x 4 |
| L3 Cache | 8.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) HD Graphics 4600 |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
205
38.4 IPS |
|
|
Image Classification (F16)
|
100% |
205
38.4 IPS |
|
|
Image Classification (I8)
|
100% |
99
18.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
285
4.77 IPS |
|
|
Image Segmentation (F16)
|
100% |
285
4.75 IPS |
|
|
Image Segmentation (I8)
|
98% |
133
2.22 IPS |
|
|
Pose Estimation (F32)
|
100% |
1034
1.25 IPS |
|
|
Pose Estimation (F16)
|
100% |
1034
1.25 IPS |
|
|
Pose Estimation (I8)
|
100% |
784
0.95 IPS |
|
|
Object Detection (F32)
|
100% |
247
18.5 IPS |
|
|
Object Detection (F16)
|
100% |
246
18.4 IPS |
|
|
Object Detection (I8)
|
63% |
128
9.54 IPS |
|
|
Face Detection (F32)
|
100% |
429
5.10 IPS |
|
|
Face Detection (F16)
|
100% |
429
5.10 IPS |
|
|
Face Detection (I8)
|
87% |
138
1.65 IPS |
|
|
Depth Estimation (F32)
|
100% |
743
5.76 IPS |
|
|
Depth Estimation (F16)
|
100% |
743
5.76 IPS |
|
|
Depth Estimation (I8)
|
94% |
413
3.20 IPS |
|
|
Style Transfer (F32)
|
100% |
1700
2.24 IPS |
|
|
Style Transfer (F16)
|
100% |
1703
2.24 IPS |
|
|
Style Transfer (I8)
|
98% |
1262
1.66 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
591
21.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
592
21.1 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
278
9.94 IPS |
|
|
Text Classification (F32)
|
100% |
317
455.6 IPS |
|
|
Text Classification (F16)
|
100% |
313
450.2 IPS |
|
|
Text Classification (I8)
|
98% |
73
105.5 IPS |
|
|
Machine Translation (F32)
|
100% |
470
8.64 IPS |
|
|
Machine Translation (F16)
|
100% |
478
8.79 IPS |
|
|
Machine Translation (I8)
|
71% |
68
1.26 IPS |
